You're reading from Power BI Machine Learning and OpenAI

Product type Book

Published in May 2023

Publisher Packt

ISBN-13 9781837636150

Pages 308 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Greg Beaumont

Table of Contents (21) Chapters

Preface

Part 1: Data Exploration and Preparation

Chapter 1: Requirements, Data Modeling, and Planning

Chapter 2: Preparing and Ingesting Data with Power Query

Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model

Chapter 4: Model Data for Machine Learning in Power BI

Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service

Chapter 5: Discovering Features Using Analytics and AI Visuals

Chapter 6: Discovering New Features Using R and Python Visuals

Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service

Part 3: Machine Learning in Power BI

Chapter 8: Building Machine Learning Models with Power BI

Chapter 9: Evaluating Trained and Tested ML Models

Chapter 10: Iterating Power BI ML models

Chapter 11: Applying Power BI ML Models

Part 4: Integrating OpenAI with Power BI

Chapter 12: Use Cases for OpenAI

Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows

Chapter 14: Project Review and Looking Forward

Index

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